Data Engineer

proSapient

. Build ingestion and transformation pipelines that populate the Knowledge Graph from internal systems, enrichment outputs and third-party sources.

Posted 9/29/2026full-timeRemote • United Kingdom, PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing production data pipelines, with a strong focus on data quality, entity resolution, and integration of multi-source data. Proficient in data modeling and familiar with cloud environments, ensuring reliable data delivery and operational efficiency.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline DevelopmentElasticsearch / OpenSearch ExperienceGraph Database Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ModelingEntity ResolutionSchema DesignDeduplicationNormalisationProduction-Ready CodeGraph Data ModelingTesting and Code ReviewData Quality Checks

Tools & Technologies

PostgreSQLBigQueryKafkaDbtDockerKubernetesAWSGCP

Industry Keywords

Knowledge GraphData ContractsData EnrichmentData MonitoringIncremental Reprocessing

Tech Stack

Tools & technologies

AWSBigQueryCloudDockerElasticSearchGoogle Cloud PlatformKafkaKubernetesPostgresPythonSQL

About the role

Key responsibilities & impact

Build ingestion and transformation pipelines that populate the Knowledge Graph from internal systems, enrichment outputs and third-party sources.
Implement entity resolution and linking logic in production.
Manage late-arriving data, conflicting sources and graph schema changes over time.
Build query and serving layers used by search, matching and data product teams.
Model the graph for analytical and application use cases across BigQuery, PostgreSQL and Elasticsearch / OpenSearch.
Support external-facing data products with reliable export and delivery pipelines.
Implement data quality checks, lineage and monitoring across graph pipelines.
Own production operations, including alerting, backfills and incremental reprocessing.
Contribute to data contracts so downstream teams can rely on the graph.

Requirements

What you’ll need

3+ years building production data pipelines.
Strong Python and SQL skills, with experience writing clean, production-ready code.
Experience with PostgreSQL or other relational databases.
Strong data modelling skills, including schema design for evolving requirements.
Experience integrating messy, multi-source data, including deduplication and normalisation.
Hands-on experience with Elasticsearch / OpenSearch or a comparable serving layer.
Comfortable with testing, code review, CI and operating your own pipelines.
Experience with graph databases, graph data modelling, taxonomies or ontologies.
Experience with entity resolution at scale.
Experience with BigQuery, Kafka, dbt or similar data platforms and frameworks.
Familiarity with Docker, Kubernetes and cloud environments such as AWS or GCP.

Benefits

Comp & perks

Tenure gifts, including vouchers, extra holiday and sabbaticals for each year of employment.
Health insurance through Vitality.
Remote working for up to 20 days each year, giving you flexibility and a change of scenery.
Employee Assistance Programme with personalised health and wellbeing advice from specialist teams.
Enhanced maternity and paternity pay.
25 days’ annual leave plus bank holidays, including a week’s closure over Christmas.
MyMindPal app for online mental fitness support.
Corporate events, from quarterly gatherings to annual winter and summer parties.